Sample information curated by ChIP-Atlas

Antigen

Antigen Class
ATAC-Seq
Antigen
ATAC-Seq

Cell type

Cell type Class
Blood
Cell type
Macrophages
MeSH Description
The relatively long-lived phagocytic cell of mammalian tissues that are derived from blood MONOCYTES. Main types are PERITONEAL MACROPHAGES; ALVEOLAR MACROPHAGES; HISTIOCYTES; KUPFFER CELLS of the liver; and OSTEOCLASTS. They may further differentiate within chronic inflammatory lesions to EPITHELIOID CELLS or may fuse to form FOREIGN BODY GIANT CELLS or LANGHANS GIANT CELLS. (from The Dictionary of Cell Biology, Lackie and Dow, 3rd ed.)

Attributes by original data submitter

Sample

source_name
alveolar macrophages
strain
C57BL/6
tissue
lung
cell type
alveolar macrophages
age
6 weeks old
phenotype
CXCL2pos
time point
24 hours

Sequenced DNA Library

library_strategy
ATAC-seq
library_source
GENOMIC
library_selection
other
library_construction_protocol
Lungs were removed, single suspension cells were achieved by enzymatic digestion of tissue, and alveolar macrophage cells were harvested by FACS. Omni-ATAC was performed on 50,000 cells from two biological replicates per AM subpopulation using Tn5 transposase from the Nextera DNA Library Prep Kit (FC-121-1030). Following transposition, the Qiagen MinElute Kit (28204) was used to purify the DNA. Based on qPCR amplification curves, samples were amplified for four additional cycles after the five-cycle preamplification (9 total cycles). For size selection and clean-up of amplified library, three rounds of AMPure beads-enabled purification were performed. 1X AMPure beads were used first to remove primer dimers, followed by 0.5X to remove large fragments >1,000 kb, and finally 1.8X to further clean up.

Sequencing Platform

instrument_model
NextSeq 500

mm10

Number of total reads
56319133
Reads aligned (%)
97.5
Duplicates removed (%)
17.8
Number of peaks
66722 (qval < 1E-05)

mm9

Number of total reads
56319133
Reads aligned (%)
97.4
Duplicates removed (%)
17.9
Number of peaks
66705 (qval < 1E-05)

Base call quality data from DBCLS SRA